Hadoop Developer Job Vacancies in Delhi NCR

xperience working data warehouses, including information retrieval, data mining and machine learning as well as experience in building optimized data intensive applications with modern web technologies (such as NoSQL, MongoDB, SparkML, Tensorflow).EducationProfessional Qualification in Data EngineeringMajorComputer Science/ApplicationKnowledgeExpert Knowledge in the areas Data Engineering, ETL, HadoopSkillHadoop, Spark, Pig, Hive, Python, Java, SQLCertificateDiploma/Certificates in the field of Data EngineeringExperience5-10 Years of relevant experience

Job descriptionExcellent opportunity for freshers/.net/Java developers to learn and build their career in Salesforce.Selected candidates will be trained in Salesforce.Once 03 months training is over, candidates will assist Salesforce Developers on ongoing projects.First salary revision as soon as candidates are allocated on project and successfully start delivering project tasks.Salary revision on completion 1 year and 1.5 years with the organization.Only those candidates will be considered who are ready to sign a service agreement of 02 yearsDesired Candidate Profile0 to 2 years experience in Java/.net/any other programming language.Should have done at least one project during in college/training.Candidate should be able to give demo of the project they have worked on.Hands on experience in designing and developing applications using Java/.net platformsGraduate or Post-GraduateStrong algorithmic skillsAbility to work independently with little supervisionExcellent multi-tasking skillsSelf-motivated with strong team spirit

We are looking for 4 Salesforce Developer Posts in Noida with deep knowledge in Triggers,Hadoop,Salesforce CRM, Apex,Lightning,LWC and Required Educational Qualification is : B.C.A, B.Sc, B.Tech/B.E, Post Graduate Diploma, M.C.A, M.Tech

Project Role: Application Developer Project Role Description: Design, build and configure applications to meet business process and application requirements. Must have Skills: Data EngineeringKey Responsibilities:Implement the data flowExtend the data platform capability for various data typesDesign the data model according to various type of data sourcesDesign the data flows from the data sources to the destinationsDesign abstracted solutions for data ingestion and processingResearching the appropriate data technology and apply to the organization Technical Experience:Expert Programming experience with Python or Scala, with strong ability to refactor codes in a new environmentExperience with Big Data technologies like Hadoop, Apache Spark, Hive etcStrong Knowledge of Spark Applications lifecycleExperience with working on AWS infrastructure and services like EMR, S3, Redshift, Lambda, etc Knowledge of data structures, algorithms, software design principles and test-driven development Nice to have Experience with containerization technologies-KubernetesProfessional Attributes:Problem solving skills and hands on attitudeEager to never stop learningStrong interpersonal and communication skills Fluent in EnglishA Growth mindset with a high energy for change, a passion for sports and a strong sense of humor.

Big Data Developer required with experience working in Hadoop in technologies including Spark and Hive. Candidate also needs to haveexperience on CI/CD (Jenkins, Nexus, etc.), and Openshift PaaS implementations, and data pipelines for instance through Control-Mor any other scheduling tool.Candidate will perform the role of senior developer for an established project in the bank where he needs to support existing applicationsas well as work on new requirements from a design and implementation perspectives.Coding System Analysis Mobile Banking Openshift PaaS Relational Databases Apache Spark Control-M GitLab Hadoop Hive Jenkins MAVEN NexusScala Shell Scripting YARN Oracle Scrum/Agile Spring.

We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:Experience with big data tools: Hadoop, Spark, Kafka, etc.Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.Experience with AWS cloud services: EC2, EMR, RDS, RedshiftExperience with stream-processing systems: Storm, Spark-Streaming, etc.Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.